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@article{186017,
        author = {Vinoth Kumar J and Dr. V. Kumar},
        title = {An AI-Driven Digital Twin Framework for Cyber-Attack Detection and Mitigation in Electric Vehicle Charging Infrastructure},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3180-3183},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186017},
        abstract = {The widespread deployment of electric vehicles is driving a new demand for advanced cybersecurity in charging infrastructure, where interconnected networks create new targets for cyber threats. This work introduces an artificial intelligence- based Digital Twin framework aimed at instantly detecting and responding to cyber-attacks on electric vehicle charging systems. By combining dynamic simulation, machine learning models, and automated defense mechanisms, the framework strengthens the resilience and security of charging operations against an evolving threat landscape, helping to ensure reliable EV usage even as cyber risks continue to grow.},
        keywords = {Cybersecurity, Digital Twin, Electric Vehicle, Anomaly Detection, AI, EV Charging Infrastructure, Machine Learning, Critical Infrastructure.},
        month = {October},
        }